Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/57983
Title: Medical Data Analytics for Secure Multi-party-primarily based Cloud Computing utilizing Homomorphic Encryption
Authors: Sammeta, Naresh
Parthiban, Latha
Keywords: AHEE;CSP;Decryption time;Encryption time;Homomorphic encryption
Issue Date: Aug-2021
Publisher: NIScPR-CSIR, India
Abstract: Cloud computing has emerged as a vibrant part of today's modern world, providing computer services such as data storage, managing and processing via the internet. For the most part, cloud applications emphasize a multi-tenant structure to provide support for several customers in a single instance. A multi-tenancy situation involving the allocation of resources in cloud storage and the risks associated with it, in which confidentiality or integrity may be compromised. Homomorphic encryption is one such technique which guarantees to franchise in safeguarding information under cryptographic domain. The proposed modified Algebra Homomorphic Encryption scheme based on updated ElGamal (AHEE) encryption scheme is designed in such a way that the cloud administrators do not obtain any information about the medical data. This scheme is quantitatively evaluated using metrics such as encryption time and decryption time. The experimental results using UCI Machine Learning Repository ECG data set show that the proposed scheme achieved shorter encryption time of 6.61 ms and decryption time of 5.94 ms and also analyze this secured datum using big data analytics.
Page(s): 692-698
URI: http://nopr.niscair.res.in/handle/123456789/57983
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Appears in Collections:JSIR Vol.80(08) [August 2021

Files in This Item:
File Description SizeFormat 
JSIR 80(8) 692-698.pdf919.92 kBAdobe PDFView/Open


Items in NOPR are protected by copyright, with all rights reserved, unless otherwise indicated.